ADHD-Classification-using-Support-Vector-Machine
The feature set was constructed by taking minimum, maximum correlated data, upper and lower quartile of correlated data.
Principal Component Analysis(PCA) was used for dimensionality-reduction.
Model was constructed using SVM which produced 100% accuracy.